Glossary

Machine learning is a subset of AI that teaches computers to learn from data instead of having every step programmed. Although the concept isn't new, advancements in artificial intelligence have made machine learning a cornerstone of AI research and development.

Matrix UX teams are one of the leading UX team structures comprising a hybrid of centralized and decentralized UX teams.

Mental models derive from the way humans perceive the world around them.

A middle market, or mid-market, organization is a business with an annual revenue range of between $10 million and $1 billion—with categorizations of the lower middle market, middle market, and upper middle market.

Minesweeping is the manual act of using your web cursor, or “sweeping,” to pinpoint tooltips and page links.

A minimum viable product (MVP) is the earliest version of a product that an organization feels is ready to be introduced to customers, especially early adopters. Many top organizations you know and use today were once MVPs, from Amazon and HelloFresh to Microsoft. Product teams use MVPs to get a product out into the real world, validate whether or not it’ll provide value, and gather insight and feedback to help improve their product. By testing MVPs with your target audience, you’re ensuring you’re building the right product at just the right time—and gaining valuable user feedback that’ll mitigate risk.

Mobile testing is the process by which mobile apps and digital experiences (like websites and ecommerce) are tested for relevance, functionality, usability, and consistency.

Moderated testing is a form of usability testing where a UX researcher, or moderator, helps facilitate the study alongside test participant(s). During this qualitative research type, the moderator works directly with the test contributor, guiding them through the study and answering questions in real time if the contributor encounters any challenges while completing their tasks. What’s beneficial about moderated studies is that they can be conducted either remotely or in person, 1:1 or in a focus group setting, and provide a space for dynamic discussions.

Multichannel testing tests if your users have a consistent and similar experience across multiple channels and devices.

Same as A/B testing, only you’re testing multiple versions of the same page rather than just two.